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README.md
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@@ -44,3 +44,16 @@ Some known weaknesses are:
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- the individual sensitivities to changing sea surface temperature and CO2 are not entirely realistic
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- the medium-range (3-10 day) weather forecast skill is not state of the art
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- not expected to generalize accurately for large perturbations of certain inputs (e.g. doubling of CO2)
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- the individual sensitivities to changing sea surface temperature and CO2 are not entirely realistic
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- the medium-range (3-10 day) weather forecast skill is not state of the art
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- not expected to generalize accurately for large perturbations of certain inputs (e.g. doubling of CO2)
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### Complete training dataset
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This repository only contains the data necessary for inference starting from a select number of
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past times. You can find the complete training dataset spanning 1940-2022 at this requester-pays
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Google cloud bucket: `gs://ai2cm-public-requester-pays/2024-11-13-ai2-climate-emulator-v2-amip/data/era5-1deg-1940-2022.zarr`.
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This dataset was generated from the ERA5 datasets hosted by Google Research (https://github.com/google-research/arco-era5)
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and NCAR (https://gdex.ucar.edu/datasets/d633000/).
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We acknowledge ECMWF and the Copernicus Climate Change Service for producing the ERA5 dataset.
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> This dataset contains modified Copernicus Climate Change Service information. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.
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